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公开(公告)号：US20180307935A1
公开(公告)日：2018-10-25
申请号：US15946693
申请日：2018-04-05
Applicant: HRL Laboratories, LLC
Inventor： Shankar R. Rao , Andras Horvath
CPC classification number: G06K9/4671 , G06K9/00805 , G06K9/00825 , G08G1/13 , G08G1/164
Abstract: Described is a system for detecting salient objects in images. During operation, the system maps an input image into a frequency domain having a spectral magnitude. The spectral magnitude is replaced with weights from a weight matrix W. The frequency domain is then transformed with the weights to a saliency map in the image domain, the saliency map having pixels with pixel values. A squaring operation is then performed on the saliency map by squaring the pixel values to generate a pixel-value altered saliency map. A final saliency map is generated by filtering the pixel-value altered saliency map. A number of devices may then be operated based on the saliency map.
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公开(公告)号：US09230302B1
公开(公告)日：2016-01-05
申请号：US14204028
申请日：2014-03-11
Applicant: HRL Laboratories, LLC
Inventor： Yuri Owechko , Kang-Yu Ni , Shankar R. Rao
CPC classification number: G06T7/0022 , G06T1/0007 , G06T3/0012 , H03M7/3062
Abstract: Described is a system for foveated compressive sensing. The system is configured to receive an input image f of a scene and initialize a measurement matrix. Global measurements are then performed, with a lower resolution image of the scene thereafter reconstructed. Task salient regions are extracted from the low resolution image. Thereafter, the system estimates a task-specific operator and detects regions-of-interest (ROI) based on the task salient regions. An ROI-adapted and foveated measurement matrix is then generated. Local measurements are then performed on task-relevant ROIs. A higher resolution image can then be reconstructed of the scene to allow for identification of objects in the ROI.
Abstract translation: 描述了一种用于移动压缩感测的系统。 该系统被配置为接收场景的输入图像f并初始化测量矩阵。 然后执行全局测量，然后重建该场景的较低分辨率图像。 从低分辨率图像中提取任务显着区域。 此后，系统估计特定于任务的运营商并且基于任务突出区域检测感兴趣区域（ROI）。 然后生成ROI适应和移动的测量矩阵。 然后在任务相关的ROI上执行本地测量。 然后可以对场景重建更高分辨率的图像，以允许识别ROI中的对象。
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公开(公告)号：US10462365B1
公开(公告)日：2019-10-29
申请号：US14452807
申请日：2014-08-06
Applicant: HRL Laboratories, LLC
Inventor： Matthew S Keegan , Kang-Yu Ni , Shankar R. Rao
Abstract: A system and method for low power surveillance. The system receives a series of frames from a camera, each frame having a background and a foreground. A background template is generated. Thereafter, the system receives a new image frame of the scene, the new image frame having a background and a foreground. Potential regions of interest (ROI) are detected in the new image frame. Initial region descriptors are determined in the potential ROI in the foreground. The initial region descriptors are segmented to generate a segmented region. Region descriptors are re-determined from the segmented region. A contiguous sparse foreground is determined from the re-determined region descriptors, the contiguous sparse foreground being a contiguous ROI. The ROI is reconstructed using foveated compressive sensing to generate an image of an interesting object. Finally, the interesting object image is combined with the background template to reconstruct the foreground.
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公开(公告)号：US10295462B1
公开(公告)日：2019-05-21
申请号：US15445782
申请日：2017-02-28
Applicant: HRL Laboratories, LLC
Inventor： Daniel Yap , Yuri Owechko , Richard M. Kremer , Shankar R. Rao
IPC: G01J5/02 , G01N21/39 , G01N21/3563 , G01N21/31 , G01N21/27
Abstract: A sensor system including a spectrometer with a light source having a plurality of selectable wavelengths, a controller for controlling the sensor system, for selecting wavelengths of illumination light produced by the light source, and for controlling the light source to illuminate a spatial location, a photodetector aligned to detect light received from the spatial location, a blind demixer coupled to the photodetector for separating received spectra in the detected light into a set of sample spectra associated with different demixed or partially demixed chemical components, a memory having a plurality of stored reference spectra, a non-blind demixer coupled to the blind demixer and to the memory for non-blind demixing of the sample spectra using the reference spectra, and a classifier coupled to the non-blind demixer for classifying the set of demixed sample spectra into chemical components using the reference spectra.
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公开(公告)号：US20180076795A1
公开(公告)日：2018-03-15
申请号：US15817906
申请日：2017-11-20
Applicant: HRL Laboratories, LLC
Inventor： Peter Petre , Bryan H. Fong , Shankar R. Rao , Charles E. Martin
CPC classification number: H03H21/0025 , G06K9/0057 , G06K9/624 , G06N3/0445 , H03H2021/0034 , H04B1/71632 , H04B1/719
Abstract: Described is a cognitive signal processor for signal denoising and blind source separation. During operation, the cognitive signal processor receives a mixture signal that comprises a plurality of source signals. A denoised reservoir state signal is generated by mapping the mixture signal to a dynamic reservoir to perform signal denoising. At least one separated source signal is identified by adaptively filtering the denoised reservoir state signal.
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Patent Agency Ranking
公开(公告)号：US09660693B1
公开(公告)日：2017-05-23
申请号：US14328346
申请日：2014-07-10
Applicant: HRL LABORATORIES LLC
Inventor： Kang-Yu Ni , Shankar R. Rao
CPC classification number: H04B1/715 , H04B1/7156 , H04B2001/7152
Abstract: A spatio-temporal signal monitoring system includes a sampler configured to receive a radio frequency signal and obtain first compressive sensing measurements of said received signal at a first resolution level, and a signal detector configured to identify at least one signal of interest based on said first compressive sensing measurements and perform second compressive sensing measurements on said at least one signal of interest at a second resolution level, said second resolution level being higher than said first resolution level. The received signal may be analyzed as an array or image having two or more dimensions, based on frequency and on at least one other parameter, such as angle-of arrival, and may be analyzed at a higher level of resolution at the frequencies and angles corresponding to a signal of interest (SOI). Estimates of the frequency and/or the at least one other parameter may be generated by the system. The system may be used to monitor a wideband RF spectrum and/or track signals, such as frequency-hopping signals.
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公开(公告)号：US11270411B1
公开(公告)日：2022-03-08
申请号：US16369779
申请日：2019-03-29
Applicant: HRL Laboratories, LLC
Inventor： Austin F. Garrido , Shankar R. Rao , Jose Cruz-Albrecht , Timothy J. Derosier
Abstract: A system for real time bilinear interpolation includes a bilinear interpolation module capable of: generating pixel addresses for original image pixels of an original image needed for performing bilinear interpolation of the original image to form a resized image, wherein the generated pixel addresses assume all the original image pixels of the original image are accessible, and performing bilinear interpolation, and a pixel smart memory module capable: of sequentially receiving original image pixel rows of the original image an original image pixel row a time, predicting which original image pixel rows are needed for performing bilinear interpolation, storing only the needed sequentially received original image pixel rows in a memory, decoding the generated pixel addresses to form decoded addresses to access the needed original image pixel rows stored in the memory, and sending the needed original image pixel rows to the bilinear interpolation module for performing bilinear interpolation.
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公开(公告)号：US11037057B1
公开(公告)日：2021-06-15
申请号：US15910821
申请日：2018-03-02
Applicant: HRL Laboratories, LLC
Inventor： Gabriel L. Virbila , Peter Petre , Bryan H. Fong , Shankar R. Rao , Daniel S. Matic
Abstract: Described is a cognitive signal processor that is implemented in a field programmable gate array (FPGA). During operation, the FGPA receives a continuous noisy signal. The continuous noisy signal is a time-series of data points from a mixture signal of waveforms having both noise and a desired waveform signal. The continuous noisy signal is linearly mapped to reservoir states of a dynamical reservoir. A high-dimensional state-space representation of the continuous noisy signal is generated by digitally combining the continuous noisy signal with the reservoir states. Notably, the continuous noisy signal is approximated over a time interval based on a linear basis function. One or more delay-embedded state signals are then generated based on the reservoir states. The continuous noisy signal is then denoised by removing the noise from the desired waveform signal, resulting in a denoised waveform signal.
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公开(公告)号：US10404299B1
公开(公告)日：2019-09-03
申请号：US15910922
申请日：2018-03-02
Applicant: HRL Laboratories, LLC
Inventor： Peter Petre , Bryan H. Fong , Shankar R. Rao
Abstract: Described is a cognitive signal processor (CSP) for signal denoising. In operation, the CSP receives a noisy signal as a time-series of data points from a mixture of both noise and one or more desired waveform signals. The noisy signal is linearly mapped to reservoir states of a dynamical reservoir. A high-dimensional state-space representation is then generated of the noisy signal by combining the noisy signal with the reservoir states. A delay-embedded state signal is generated from the reservoir states. The reservoir states are denoised by removing noise from each reservoir state signal, resulting in a real-time denoised spectrogram of the noisy signal. A denoised waveform signal is generated combining the denoised reservoir states. Additionally, the signal denoising process is implemented in software or digital hardware by converting the state-space representation of the dynamical reservoir to a system of delay difference equations and then applying a linear basis approximation.
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公开(公告)号：US10162378B1
公开(公告)日：2018-12-25
申请号：US15631307
申请日：2017-06-23
Applicant: HRL Laboratories, LLC
Inventor： Shankar R. Rao , Peter Petre , Charles E. Martin
Abstract: Described is a neuromorphic processor for signal denoising and separation. The neuromorphic processor generates delay-embedded mixture signals from an input mixture of pulses. Using a reservoir computer, the delay-embedded mixture signals are mapped to reservoir states of a dynamical reservoir having output layer weights. The output layer weights are adapted based on short-time linear prediction, and a denoised output of the mixture of input signals us generated. The denoised output is filtered through a set of adaptable finite impulse response (FIR) filters to extract a set of separated narrowband pulses.
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